Open Data Views

The data comes from Open Government Analytics

Open Map Views

Count of the number of times a map was viewed using the Open Maps Viewer

Maritime’s Data

pubs <- read.csv("MARScienceDataPublications(Publications).csv") |> 
  mutate(uuid = basename(Open.Data.Link),
         nchar = nchar(uuid)) |> 
  filter(nchar==36)

req <- request("https://open.canada.ca/data/en/api/action/datastore_search")

data <- data.frame()

for(id in pubs$uuid){
  result <- req  |>  
    # req_headers(Authorization = API_TOKEN) %>% 
    req_body_json(list(
      resource_id = '15eeafa2-c331-44e7-b37f-d0d54a51d2eb',
      limit = 50,
      q = id)) |> 
    req_perform() |> 
    resp_body_json()
  
  newdata <- result$result$records |> 
    lapply(as.data.frame) |> 
    bind_rows() |> 
    mutate(uuid = id)
  
  if(!id %in% data$uuid){
    data <- bind_rows(data,
                      newdata)
  }
    
}


sumdata <- data |> 
  group_by(title_en) |> 
  reframe(totalviews=sum(pageviews))

(ggplot(sumdata,aes(x = title_en,y = totalviews)) +
    geom_col()+
    coord_flip()+
    theme_classic()+
    theme(axis.text.y=element_blank(),
          axis.ticks.y=element_blank())+
    scale_y_continuous(expand = expansion(mult = c(0,0.1))))|> 
  ggplotly()

Maritime’s time series

sumdata <- data |> 
  mutate(Source=case_when(grepl("NETForce",title_en) ~ "NETForce",
                          grepl("CAN-EWLAT",title_en) ~ "CAN-EWLAT",
                          .default = "All other data"),
         Source=factor(Source,levels=c("NETForce",
                                       "CAN-EWLAT",
                                       "All other data"))) |> 
  group_by(year,month,Source) |> 
  reframe(`Total Views per Month`=sum(pageviews))%>%
  mutate(date = as.Date(paste(year, month, "01", sep = "-")))

ggplot(sumdata,aes(x = date,y = `Total Views per Month`,fill = Source)) +
  geom_area(position = 'stack')+
  theme_classic()+
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1))+
  scale_x_date(date_break = 'month',
               expand = expansion(mult = c(0,0)),
               date_labels = "%m-%Y")+
  scale_y_continuous(expand = expansion(mult = c(0,0)))+
  labs(x="")

All Data

req <- request("https://open.canada.ca/data/en/api/action/datastore_search_sql")
result <- req|>
  # req_headers(Authorization = API_TOKEN) |>
  req_body_json(list(
    sql = "SELECT * FROM \"15eeafa2-c331-44e7-b37f-d0d54a51d2eb\" WHERE owner_org LIKE 'dfo-mpo'")) |>
  req_perform() |>
  resp_body_json()
data <- result$result$records |> 
  lapply(as.data.frame) |> 
  bind_rows() |> 
  mutate(Region=if_else(id %in% pubs$uuid,
                 "Maritimes",
                 "Other"))

sumdata <- data |> 
  group_by(title_en,Region) |> 
  reframe(totalviews=sum(as.numeric(pageviews)))

(ggplot(sumdata,
        aes(x = title_en,y = totalviews, fill = Region)) +
    geom_col()+
    coord_flip()+
    theme_classic()+
    theme(axis.text.y=element_blank(),
          axis.ticks.y=element_blank())+
    scale_y_continuous(expand = expansion(mult = c(0,0.1))))|> 
  ggplotly()

Number of visits

Number of visits All data but plotting Maritimes only:

req <- request("https://open.canada.ca/data/en/api/action/datastore_search_sql")
result <- req|>
  req_body_json(list(
    sql = "SELECT * FROM \"c14ba36b-0af5-4c59-a5fd-26ca6a1ef6db\" WHERE department LIKE 'Fisheries and Oceans Canada'")) |>
  req_perform() |>
  resp_body_json()

data <- result$result$records |> 
  lapply(as.data.frame) |> 
  bind_rows() |> 
  mutate(Region=if_else(id %in% pubs$uuid,
                 "Maritimes",
                 "Other"))

sumdata <- data |> 
  group_by(title,Region) |> 
  reframe(totalvisits=sum(as.numeric(visits_visites)))

(ggplot(sumdata |> filter(Region == "Maritimes"),
        aes(x = title,y = totalvisits)) +
    geom_col()+
    coord_flip()+
    theme_classic()+
    theme(axis.text.y=element_blank(),
          axis.ticks.y=element_blank())+
    scale_y_continuous(expand = expansion(mult = c(0,0.1)))) |> 
ggplotly()

Number of downloads

Number of downloads All data but plotting Maritimes only:

req <- request("https://open.canada.ca/data/en/api/action/datastore_search_sql")
result <- req|>
  req_body_json(list(
    sql = "SELECT * FROM \"4ebc050f-6c3c-4dfd-817e-875b2caf3ec6\" WHERE department LIKE 'Fisheries and Oceans Canada'")) |>
  req_perform() |>
  resp_body_json()

data <- result$result$records |> 
  lapply(as.data.frame) |> 
  bind_rows() |> 
  mutate(Region=if_else(id %in% pubs$uuid,
                 "Maritimes",
                 "Other"))

sumdata <- data |> 
  group_by(title,Region) |> 
  reframe(totaldownloads=sum(as.numeric(downloads_telechargements)))

(ggplot(sumdata |> filter(Region == "Maritimes"),
        aes(x = title,y = totaldownloads)) +
    geom_col()+
    coord_flip()+
    theme_classic()+
    theme(axis.text.y=element_blank(),
          axis.ticks.y=element_blank())+
    scale_y_continuous(expand = expansion(mult = c(0,0.1)))) |> 
ggplotly()